captcha_platform | This projeccode identificat
kandi X-RAY | captcha_platform Summary
kandi X-RAY | captcha_platform Summary
captcha_platform is a Python library. captcha_platform has no bugs, it has no vulnerabilities, it has build file available and it has low support. However captcha_platform has a Non-SPDX License. You can download it from GitHub.
This project is based on CNN+BLSTM+CTC to realize verification code identification. This project is only for deployment models, If you need to train the model, please move to
This project is based on CNN+BLSTM+CTC to realize verification code identification. This project is only for deployment models, If you need to train the model, please move to
Support
Quality
Security
License
Reuse
Support
captcha_platform has a low active ecosystem.
It has 531 star(s) with 192 fork(s). There are 18 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 1 have been closed. There are 5 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of captcha_platform is v0.1
Quality
captcha_platform has 0 bugs and 0 code smells.
Security
captcha_platform has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
captcha_platform code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
captcha_platform has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
captcha_platform releases are available to install and integrate.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed captcha_platform and discovered the below as its top functions. This is intended to give you an instant insight into captcha_platform implemented functionality, and help decide if they suit your requirements.
- Handle POST request
- Parse a multi - image file
- Return blacklist list
- Set blacklist
- Get coordinate for a given label
- Create a model deployment
- Concatenate multiple images together
- Predict for given image deployment
- Separate image from image
- Loads the TensorFlow model
- File deleted event handler
- Removes a model from the graph
- Get image from file
- Decorator to check signature
- Parses a multi - image file
- Filters the given image
- Compile the graph
- Retrieve images from remote server
- File created event handler
- Iterate over images
- Create an event loop
- Predict a single image
- Start serving
- Return the whitelist
- Predict from given image bytes
- Creates a web application
- Iterate over images
Get all kandi verified functions for this library.
captcha_platform Key Features
No Key Features are available at this moment for captcha_platform.
captcha_platform Examples and Code Snippets
No Code Snippets are available at this moment for captcha_platform.
Community Discussions
No Community Discussions are available at this moment for captcha_platform.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install captcha_platform
You can download it from GitHub.
You can use captcha_platform like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use captcha_platform like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page